Meihan Wang1, Weitian Chen2, Micheal Lustig3, Peng Hu4, Michael Salerno, Christopher Kramer, Craig Meyer1
Synthetic Target (ST) is a rapid self-calibrated parallel reconstruction method. The original ST works well for spiral and Cartesians, yet suffers from aliasing for radial trajectories. In this abstract, we improved our original Synthetic Target algorithm by adding a phase constraint in the training process. The resultant images have higher SNR than the original ST for radial trajectories. We also compared our method with another iterative parallel reconstruction algorithm in terms of image quality and computation time.